Perpustakaan Digital ITB

Suspension system is the core of racecar performance. It dictates the handling, stability, and tire management of the vehicle, which is crucial in a competitive field of motorsports, especially Formula 1, where race results can be decided in milliseconds. The configuration of suspension systems directly affects lap times as it dictates how well a car can navigate around corners and maintain traction on various surfaces. Therefore, this research aims to simulate the lap time of an F1 car and develop a method to optimize the lap time of a Formula 1 car through suspension configurations. To achieve these objectives, a comprehensive research methodology was executed. Utilizing advanced simulation software, IPG CarMaker, this study simulates the lap time of an F1 car and focuses on developing a method to improve lap times through configurations such as anti-dive and anti-lift geometries. The same method is applied across various tracks to ensure that this method is applicable for any track and to explore the different requirements of each track. A systematic, two-stage optimization framework was used in this research to replicate the realistic Formula 1 development practices. A combination of non-parametric Analysis of Variance and Means and the Response Surface Method (RSM) was utilized to produce track-specific suspension setups. Consequently, a detailed telemetry analysis was executed to further identify where and how the lap time gains were achieved. Simulation results verified that the simulated lap time correlates strongly with the real-world telemetry data. Furthermore, the optimized configurations yielded significant lap time improvements on all tested circuits, with gains ranging from 0.778 to 2.721 seconds.